Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use SantmanKT/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SantmanKT/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SantmanKT/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SantmanKT/results") model = AutoModelForSequenceClassification.from_pretrained("SantmanKT/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4b04382c346c9e84ef6187b7af7e8f362f53297c3d9a0e27c389521ab0a91ba
- Size of remote file:
- 5.3 kB
- SHA256:
- 92ebce3e0ff3e35ffad1ef85eee74972e77cc6508e8a5636b61e7344265ba0fe
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